AI Pick Center
Top SportsAI.ML picks
Highest-confidence consensus selections across today's slate, ranked by calibrated confidence.
SportsAI.ML pick
Boston Celtics
BOS vs DEN
Fair prob
62%
EV / unit
+0.4%
SportsAI.ML pick
LA Dodgers
LAD vs NYY
Fair prob
58%
EV / unit
-0.2%
SportsAI.ML pick
Manchester City
MCI vs LIV
Fair prob
55%
EV / unit
+7.3%
SportsAI.ML pick
J. Sinner
ALC vs SIN
Fair prob
55%
EV / unit
-6.5%
Best Bets
Highest model-agreement opportunities
Where independent models most strongly converge on the same outcome.
SportsAI.ML pick
J. Sinner
ALC vs SIN
Fair prob
55%
EV / unit
-6.5%
SportsAI.ML pick
Kansas City Chiefs
KC vs BUF
Fair prob
55%
EV / unit
+0.7%
SportsAI.ML pick
Colorado Avalanche
COL vs VGK
Fair prob
52%
EV / unit
-1.2%
SportsAI.ML pick
Jon Jones
JON vs ASP
Fair prob
50%
EV / unit
-2.5%
Value
Highest estimated value
Ranked by edge over the no-vig market price.
SportsAI.ML pick
Barcelona
RMA vs FCB
Fair prob
52%
EV / unit
+71.6%
SportsAI.ML pick
LA Dodgers
LAD vs NYY
Fair prob
58%
EV / unit
-0.2%
SportsAI.ML pick
Kansas City Chiefs
KC vs BUF
Fair prob
55%
EV / unit
+0.7%
SportsAI.ML pick
Boston Celtics
BOS vs DEN
Fair prob
62%
EV / unit
+0.4%
Player Props
Trending player props
Projected outcomes versus posted lines, with recent hit rates. Demonstration data.
Nikola Jokić
DEN
Points + Rebounds + Assists
Line
48.5
Projection
52.1
Hit rate
64%
Patrick Mahomes
KC
Passing Yards
Line
274.5
Projection
289.0
Hit rate
61%
Jayson Tatum
BOS
Points
Line
27.5
Projection
29.8
Hit rate
58%
Erling Haaland
MCI
Shots on Target
Line
1.5
Projection
2.1
Hit rate
66%
Shohei Ohtani
LAD
Total Bases
Line
1.5
Projection
1.9
Hit rate
55%
Trends
Model-performance leaderboard
Continuously measured accuracy, calibration and reliability by sport and market.
| Model | Specialization | Accuracy | Calibration | Reliability | Weight | Sample |
|---|---|---|---|---|---|---|
Poisson + Elo ensemble SportsAI.ML | Soccer, Hockey | 56.7% | 0.94 | 0.99 | 1.31× | 2,210 |
Gradient-boosted trees SportsAI.ML | Basketball, Football | 57.8% | 0.93 | 0.98 | 1.27× | 2,050 |
Grok 4.5 xAI | Basketball, Football | 58.4% | 0.92 | 0.98 | 1.24× | 1,840 |
Grok 4.3 xAI | Soccer, Tennis | 57.1% | 0.90 | 0.97 | 1.18× | 1,620 |
Grok 4.2 Reasoning xAI | Baseball, Hockey | 55.9% | 0.88 | 0.96 | 1.05× | 1,490 |
Weights derive from historical accuracy, calibration, specialization, data completeness, freshness and reliability. Demonstration data.
Games
Live & upcoming events
Filter the full slate by sport and open any event for the complete intelligence report.
Live now(3)
Upcoming
Methodology
How SportsAI.ML reaches a decision
A transparent, auditable pipeline from licensed data to a graded, immutable prediction record.
Licensed live data
Validated, normalized and timestamped from provider adapters.
Statistical + AI models
Poisson, Elo and boosted trees run alongside multiple AI models.
Weighted consensus
Reliability, calibration and specialization weight each model.
Value & risk analysis
No-vig probability, estimated edge, EV and risk classification.
Immutable record
Prediction is published, timestamped and graded after the event.
Every stage is expandable on each prediction. SportsAI.ML distinguishes model predictions, market-implied probability, calculated probability, confirmed facts and unconfirmed reports. Proprietary chain-of-thought is never exposed.
Transparency
Verified performance
We never display a fabricated win rate. When verified history is insufficient, we say so.
Graded predictions
—
Insufficient verified sample
Closing-line value
—
Insufficient verified sample
Brier score
—
Insufficient verified sample
Calibration error
—
Insufficient verified sample
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Enterprise data & API
Typed API contracts, OpenAPI docs, webhooks with signature verification and rate limits by plan for partners and enterprise customers.
SportsAI.ML provides decision-support and entertainment — never guaranteed winnings. Predictions are probabilistic. Please play responsibly and within your means.